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Vulnerability · Published Feb 4, 2022 · Assigned by GitHub_M

CVE-2022-23557Division by zero in TFLite

Medium 6.5

In plain English

A medium-severity security flaw in tensorflow from tensorflow. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.8% (higher than 56% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)6.5Medium
Exploit odds (30 days)0.8%top 44.4% of all CVEs
Exploited in the wildNo reportsCISA SSVC: poc
Attack toolingNoneno public tooling known

Official description

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would trigger a division by zero in `BiasAndClamp` implementation. There is no check that the `bias_size` is non zero. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.5.3GHSA-gf2j-f278-xh4v
PyPItensorflow2.6.3GHSA-gf2j-f278-xh4v
PyPItensorflow2.7.1GHSA-gf2j-f278-xh4v
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3188
PyPItensorflow-cpu2.6.3GHSA-gf2j-f278-xh4v
PyPItensorflow-cpu2.7.1GHSA-gf2j-f278-xh4v
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-66
PyPItensorflow-cpu2.5.3GHSA-gf2j-f278-xh4v
PyPItensorflow-gpu2.7.1GHSA-gf2j-f278-xh4v
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-121
PyPItensorflow-gpu2.5.3GHSA-gf2j-f278-xh4v
PyPItensorflow-gpu2.6.3GHSA-gf2j-f278-xh4v

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow >= 2.7.0, < 2.7.1>= 2.6.0, < 2.6.3< 2.5.3

Weakness: CWE-369 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

References